


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__UpperCamelCase     		=							logging.get_logger(__name__)

__UpperCamelCase     		=							{
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}







class 							lowerCamelCase__						(				UpperCAmelCase       ,						UpperCAmelCase   ):






			"""simple docstring"""






			_UpperCamelCase		:       Optional[Any] 			=		'resnet'
			_UpperCamelCase		:       str 			=		['basic', 'bottleneck']




			def __init__(				self   ,    snake_case=3   ,    snake_case=64   ,    snake_case=[256, 512, 1024, 2048]   ,    snake_case=[3, 4, 6, 3]   ,    snake_case="bottleneck"   ,    snake_case="relu"   ,    snake_case=False   ,    snake_case=None   ,    snake_case=None   ,    **snake_case   ,    ):

						'''simple docstring'''


						super().__init__(**snake_case  )
						if layer_type not in self.layer_types:
									raise ValueError(F'''layer_type={layer_type} is not one of {','.join(self.layer_types  )}'''  )
						UpperCamelCase__       =							num_channels
						UpperCamelCase__       =							embedding_size
						UpperCamelCase__       =							hidden_sizes
						UpperCamelCase__       =							depths
						UpperCamelCase__       =							layer_type
						UpperCamelCase__       =							hidden_act
						UpperCamelCase__       =							downsample_in_first_stage
						UpperCamelCase__       =							["stem"] + [F'''stage{idx}''' for idx in range(1   ,    len(snake_case  ) + 1  )]
						UpperCamelCase__,   UpperCamelCase__       =							get_aligned_output_features_output_indices(
						    out_features=snake_case   ,    out_indices=snake_case   ,    stage_names=self.stage_names  )







class 							lowerCamelCase__						(				UpperCAmelCase   ):






			"""simple docstring"""






			_UpperCamelCase		:       int 			=		version.parse('1.11'   )




			@property
			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return OrderedDict(
						    [
						        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
						    ]  )







			@property
			def 					snake_case__					(				self  ):

						'''simple docstring'''


						return 1E-3






from __future__ import annotations

import numpy as np
def 							UpperCamelCase_(					_A :list[float]	)->		Optional[Any]:
			return np.maximum(0					,  _A	)


if __name__ == "__main__":
						print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


